OBSERVED IN REAL USE · Anthropic 2026
2%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
53% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Provide instructions to patients or family members concerning diagnoses or treatment plans
- Prepare diagnostic or treatment reports for other medical practitioners or therapists
- Present or publish scientific papers
- Evaluate, diagnose, or treat disorders of the visual system with an emphasis on binocular vision or abnormal eye movements
- Develop nonsurgical treatment plans for patients with conditions such as strabismus, nystagmus, and other visual disorders
WHAT IT STILL CAN’T
- Develop or use special test and communication techniques to facilitate diagnosis and treatment of children or disabled patients
- Provide training related to clinical methods or orthoptics to students, resident physicians, or other health professionals
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 53% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16